字节跳动预训练10万亿参数AI模型，远超Kimi K3
FT: ByteDance is reportedly pre-training an AI model with up to 10T parameters,…
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字节跳动预训练10T参数模型，是前沿规模的重要信号，关注国产大模型进展的同学值得跟进。
FT: ByteDance is reportedly pre-training an AI model with up to 10T parameters, far exceeding Kimi K3’s 2.8Trn param size.
据英国《金融时报》报道，字节跳动正在预训练一个参数高达10万亿的AI模型，远超Kimi K3的2.8万亿参数规模。
FT also reported that ByteDance has avoided distilling rival models for more than a year, preferring independent model development.
英国《金融时报》还报道称，字节跳动一年多来一直避免蒸馏竞争对手的模型，更倾向于独立开发模型。
If the reported run succeeds, ByteDance will have shown it can execute frontier-scale pretraining without leaning on a rival model as teacher.
如果报道中的训练成功，字节跳动将证明其能够在不依赖竞争对手模型作为教师的情况下，执行前沿规模的预训练。
更进一步：量化金融体系
看懂新闻只是起点——沿量化金融路径，把它变成能交付的工程能力